Unmanned ground vehicles (UGVs) have great potential in the application of both civilian
and military fields, and have become the focus of research in many countries. Environmental …

With the advent of self-driving vehicles, autonomous driving systems will have to rely on a
vast number of heterogeneous sensors to perform dynamic perception of the surrounding …

The evolution of Advanced Driver Assistance Systems (ADAS) towards the ultimate goal of
autonomous driving relies on a conspicuous number of sensors, to perform a wide range of …

This paper deals with the analysis, estimation, and compensation of trajectory errors in
automotive-based Synthetic Aperture Radar (SAR) systems. First of all, we define the …

Automotive synthetic aperture radar (SAR) systems are rapidly emerging as a candidate
technological solution to enable a high-resolution environment mapping for autonomous …

Synthetic aperture radar (SAR) technology is investigated for automotive applications in
recent years. Sparse imaging methods have the potential to improve the quality of SAR …

With the development of smart driving technology, Millimeter Wave (MMW) radar has
become increasingly crucial in the automotive environmental sensing system. However …

The study offers a Synthetic Aperture Radar (SAR) imaging concept called Strip-Spot SAR,
which uses linear Multiple-Input Multiple-Output (MIMO) radar arrays, which are becoming …

In this paper, we design an automatic parking system based on roadside vision, computing
and Vehicle-to-Road (V2R) network. We use ArUco marker and roadside cameras to …

Automotive synthetic aperture radar (SAR) systems are rapidly emerging as a candidate
technological solution to enable a high-resolution environment awareness for autonomous …